forallx PDF Download – Introduction to Formal Logic (P.D. Magnus) BSCS/Philosophy
Free PDF of forallx, P.D. Magnus’s open logic textbook (CC BY 4.0) — six chapters from arguments to natural deduction proofs, for BSCS and Philosophy students.
BSCS
R for Data Science (2nd Edition) – Free Online Book (Wickham, Çetinkaya-Rundel, Grolemund)
Read R for Data Science, 2nd Edition, free online. The complete O’Reilly guide to importing, tidying, transforming, and visualizing data with the tidyverse.
Forecasting: Principles and Practice – Free Book (BS Stats/DS)
Read Forecasting: Principles and Practice (FPP3) by Rob J Hyndman & George Athanasopoulos free online — the standard R textbook for time series forecasting.
Python Data Science Handbook – Free Book (BSCS / BS Data Science)
Read Python Data Science Handbook (2nd Edition) by Jake VanderPlas free online — the standard hands-on reference for NumPy, Pandas, Matplotlib, and Scikit-Learn.
Reinforcement Learning: An Introduction PDF Download – Sutton & Barto (2nd Edition) BSCS
Read Reinforcement Learning: An Introduction by Sutton & Barto (2nd Edition, MIT Press) free online, with chapter-by-chapter summaries, key points and FAQs for BSCS/MS Reinforcement Learning courses.
Interpretable Machine Learning – Christoph Molnar (Free Book) BSCS
Read Interpretable Machine Learning by Christoph Molnar (3rd Edition, 2025) free online – the standard reference for explaining black-box ML models with LIME, SHAP, Shapley values, PDP, ALE and more.
Fundamentals of Data Visualization – Free Book (BSCS/BS Data Science)
Free official HTML edition of Claus O. Wilke’s Fundamentals of Data Visualization (O’Reilly, 2019): 30 chapters on choosing and designing honest, compelling figures.
Neural Networks and Deep Learning – Free Book (BSCS/MS)
Read Michael Nielsen’s free online book Neural Networks and Deep Learning – backpropagation, regularization and convolutional networks explained and derived from scratch, chapter by chapter.
Bayesian Methods for Hackers – Free Book (BSCS/BS Stats)
Free online book: Bayesian Methods for Hackers by Cameron Davidson-Pilon. Learn Bayesian inference, MCMC and PyMC through worked examples for BSCS/BS Stats.
Deep Learning – Goodfellow, Bengio & Courville (Free Book) BSCS
Read the complete Deep Learning textbook by Goodfellow, Bengio and Courville free online. MIT Press, 2016 — 20 chapters in three parts, for BSCS Deep Learning electives.
Dive into Deep Learning PDF Download – Zhang, Lipton, Li & Smola BSCS
Free Dive into Deep Learning (D2L) PDF and interactive HTML edition by Aston Zhang, Zachary C. Lipton, Mu Li and Alexander J. Smola for BSCS Deep Learning courses.
Speech and Language Processing PDF Download – Jurafsky & Martin (3rd Edition Draft)
Download Speech and Language Processing (3rd ed. draft) by Jurafsky & Martin free from Stanford. NLP, LLMs and transformers for BSCS students.